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AI-Driven Breakthroughs in Antimicrobial Resistance

Hemachandran Kannan (Woxsen University, India), Raul Villamarin Rodriguez (Woxsen University, India), Sivaramakrishnan Rajaraman (Computational Health Research Branch, National Library of Medicine, National Institutes of Health, USA), and Anil Audumbar Pise (Siatik South Africa, South Africa)
Indexed In: SCOPUS
Release Date: April, 2025 | Copyright: © 2025 | Pages: 424
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Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9798369375501
ISBN13 Softcover: 9798369375518
EISBN13: 9798369375525
DOI: 10.4018/979-8-3693-7550-1

Description:

AI-driven breakthroughs in antimicrobial resistance (AMR) are transforming the way we approach pressing global health challenges. As bacteria evolve to resist traditional antibiotics, the need for innovative solutions increases. AI plays a pivotal role in the accelerated discovery of new antimicrobial agents, optimized drug development, and improved diagnostics. By analyzing datasets, identifying patterns, and simulating molecular interactions, AI is enabling researchers to uncover new compounds, predict resistance mechanisms, and develop targeted treatments. Further research into these advancements may help with drug-resistant infection mitigation and preventing the consequences of antimicrobial resistance.

AI-Driven Breakthroughs in Antimicrobial Resistance explores the intersection of artificial intelligence and the global challenge of antimicrobial resistance. It delves into the innovative ways in which AI technologies are leveraged to discover new antibiotics, understand resistance mechanisms, and design interventions to revolutionize the treatment of infectious diseases. This book covers topics such as patient care, infectious diseases, and machine learning, and is a useful resource for computer engineers, data scientists, medical professionals, biologists, academicians, and researchers.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Antibiotics
  • Antimicrobial Resistance
  • Artificial Intelligence
  • Bioinformatics
  • Data Science
  • Infection Control and Prevention
  • Infectious Diseases
  • Machine Learning
  • Medical Diagnosis and Treatment
  • Medical Technology
  • Pathogen Evolution
  • Patient Care

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Dr. Hemachandran K is a distinguished academic and researcher in the fields of Artificial Intelligence, Machine Learning, and Business Analytics. He serves as the Director of the AI Research Centre and Associate Dean of the Graduate Program at the School of Business, Woxsen University. Dr. Hemachandran holds multiple prestigious positions, including Area Chair of the Analytics Department and named professorships: the Zita Zoltay Paprika Professor of Decision Sciences & Business Economics and the Course5i Chair Professor of Business Analytics and Machine Learning. His expertise spans Artificial Intelligence and Machine Learning, contributing significantly to the School of Business at Woxsen University.
Raul Villamarin Rodriguez is the Vice President at Woxsen University. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation Applications in Human Resources from San Miguel University, Mexico. Under his leadership, Woxsen University has partnered with 50+ Leading Universities in 35 countries across 6 continents. He has been instrumental in bringing International Exchange Programs & Research opportunities with the said global partner universities for students and faculty. His areas of expertise span across the domain of Artificial Intelligence and Quantum Artificial Intelligence, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Data Analytics (Big Data), Cybersecurity Management and Knowledge Engineering. Dr. Raul has been part of significant research during his tenure, primarily through RRBM, GRLI, and PRME. He has also played vital roles in organizing renowned educational symposiums for institutions like the Oxford Brookes University, UK and European Union-government bodies in Brussels, Belgium. A young achiever, Dr. Raul, has recently been awarded in the Europe India 40 under 40 Leaders and nominated in Forbes 30 Under 30 Europe 2020. His achievements also highlight him as a registered expert in Artificial Intelligence, Intelligent Systems, and Multi-agent Systems at the European Commission. Treading the path of thought leadership in the education domain, Dr. Raul has made his place as a member of international bodies such as GRLI Deans and Directors cohort, Harvard Business Review Advisory Council, and the Institute for Robotics Process Automation & Artificial Intelligence (IRPA AI). As a staunch knowledge contributor to his field of expertise, Dr. Raul is frequently seen as the keynote speaker and panel moderator at various national and international conferences. In addition, he has co-authored two reference books: ‘New Age Leadership: A Critical Insight’ and ‘Retail Store’e’ and has more than 70 publications to his credit. He is also a weekly contributing writer to various magazines, a notable journal reviewer, and an associate editor in renowned publications such as IEEE.

Deep Learning, Machine Learning, Data science, Biomedical image analysis, and Computer vision.

Dr. Anil Pise is a seasoned Senior Data Scientist and AI & ML Leader with a Ph.D. in Computer Science from the University of the Witwatersrand. With extensive expertise in deep learning, predictive modeling, NLP, and computer vision, Dr. Anil Pise has contributed significantly to cutting-edge projects across diverse industries. At Deloitte South Africa, Dr. Pise has been at the forefront of data engineering and advanced analytics initiatives, crafting scalable solutions and actionable insights for global clients. Previous roles include leading pivotal projects at Fractal AI, such as customer segmentation, product churn modeling, and the development of COVID-19 vaccination survey visualization models for FinalMile Team. Dr. Anil Pise has also contributed to academia and research, publishing work on energy-efficient routing in wireless sensor networks. A skilled mentor and collaborator, Dr. Pise bridges the gap between technical innovation and business strategy, empowering teams and driving impactful solutions.

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